Evidence map›Paper›PMID 22783244›Full record

ArticleFrontiers in microbiology2012

Proteomic analysis of HIV-T cell interaction: an update.

Gertjan Kramer, Perry D Moerland, Rienk E Jeeninga, Wytze J Vlietstra, Jeffrey H Ringrose, Carsten Byrman, Ben Berkhout, Dave Speijer

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. The Hfq regulon ofFEBS open bio · 2017
    Article
  2. Article
  3. Article
  4. The activity of Nef on HIV-1 infectivity.Frontiers in microbiology · 2014
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gertjan KramerDepartment of Medical Biochemistry, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Perry D Moerland
Rienk E Jeeninga
Wytze J Vlietstra
Jeffrey H Ringrose
Carsten Byrman
Ben Berkhout
Dave Speijer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This mini-review summarizes techniques applied in, and results obtained with, proteomic studies of human immunodeficiency virus type 1 (HIV-1)-T cell interaction. Our group previously reported on the use of two-dimensional differential gel electrophoresis (2D-DIGE) coupled to matrix assisted laser-desorption time of flight peptide mass fingerprint analysis, to study T cell responses upon HIV-1 infection. Only one in three differentially expressed proteins could be identified using this experimental setup. Here we report on our latest efforts to test models generated by this data set and extend its analysis by using novel bioinformatic algorithms. The 2D-DIGE results are compared with other studies including a pilot study using one-dimensional peptide separation coupled to MS(E), a novel mass spectrometric approach. It can be concluded that although the latter method detects fewer proteins, it is much faster and less labor intensive. Last but not least, recent developments and remaining challenges in the field of proteomic studies of HIV-1 infection and proteomics in general are discussed.

Indexed as

DIGEHIV-1host–virus interactionLC–MS/MSEproteomics

Identifiers

PMID22783244
PMCPMC3389432

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.